Coherence resonance in neural networks: Theory and experiments

AN Pisarchik, AE Hramov - Physics Reports, 2023 - Elsevier
The paper is devoted to the review of the coherence resonance phenomenon in excitable
neural networks. In particular, we explain how coherence can be measured and how noise …

The topology and geometry of neural representations

B Lin, N Kriegeskorte - Proceedings of the National Academy of Sciences, 2024 - pnas.org
A central question for neuroscience is how to characterize brain representations of
perceptual and cognitive content. An ideal characterization should distinguish different …

Temporal unfolding of racial ingroup bias in neural responses to perceived dynamic pain in others

C Pang, Y Zhou, S Han - Neuroscience Bulletin, 2024 - Springer
In this study, we investigated how empathic neural responses unfold over time in different
empathy networks when viewing same-race and other-race individuals in dynamic painful …

Distinct cerebral coherence in task-based fMRI hyperscanning: cooperation versus competition

LS Wang, JT Cheng, IJ Hsu, S Liou, CC Kung… - Cerebral …, 2023 - academic.oup.com
This study features an functional magnetic resonance imaging (fMRI) hyperscanning
experiment from 2 sites, 305 km apart. The experiment contains 2 conditions: the dyad …

Voluntary and involuntary attention in bistable visual perception: A MEG study

P Chholak, VA Maksimenko, AE Hramov… - Frontiers in Human …, 2020 - frontiersin.org
In this study, voluntary and involuntary visual attention focused on different interpretations of
a bistable image, were investigated using magnetoencephalography (MEG). A Necker cube …

Monitoring brain state and behavioral performance during repetitive visual stimulation

AK Kuc, SA Kurkin, VA Maksimenko, AN Pisarchik… - Applied Sciences, 2021 - mdpi.com
We tested whether changes in prestimulus neural activity predict behavioral performance
(decision time and errors) during a prolonged visual task. The task was to classify …

Hemodynamic response in the motor cortex to execution of different types of movements

AA Badarin, VV Grubov, AV Andreev… - Izvestiya VUZ …, 2022 - journals.rcsi.science
Purpose of this work is the analysis of the hemodynamic response to the execution of
various types of movements (single movement, series of movements,“tap**”) by the right …

Стохастические процессы в нейронной сети головного мозга и их влияние на восприятие и принятие решений

Н Александр, АЕ Храмов - Успехи физических наук, 2023 - ufn.ru
Статья посвящена вопросам влияния стохастической динамики нейронных ансамблей
мозга на восприятие и обработку сенсорной информации, а также принятия решений …

Combination of machine learning and functional networks concept for diagnosis of autism spectrum disorder

MS Kabir, S Kurkin - 2022 Fourth International Conference …, 2022 - ieeexplore.ieee.org
The subjective assessment of experts and cost of evaluation make it much harder to
diagnose an early stage autism. This could lead to other complications in later life. In this …

Hypergraph of Functional Connectivity Based on Event-Related Coherence: Magnetoencephalography Data Analysis

N Peña Serrano, R Jaimes-Reátegui, AN Pisarchik - Applied Sciences, 2024 - mdpi.com
We construct hypergraphs to analyze functional brain connectivity, leveraging event-related
coherence in magnetoencephalography (MEG) data during the visual perception of a …